Department of Biostatistics Seminar/Workshop Series

Structual equation models in biomedical research: Uses and Abuses

Steven M. Brunwasser, Ph.D. Research Instructor in Obstetrics & Gynecology, Vanderbilt University School of Medicine

Structural equation modeling (SEM) provides a flexible framework for multivariate statistical modeling that may be highly useful in biomedical research. However, applied researchers often implement SEM techniques in suboptimal ways. This talk will provide a broad overview of SEM with a specific emphasis on biomedical research applications. The presenter will provide specific examples using biomedical data and highlight common challenges and missteps. The presentation will focus on basic SEM principles but will also touch on useful extensions and advanced topics (e.g., latent growth models, multiple-group models, multilevel SEM models, Bayesian SEM). Simple demonstrations will be provided using R (lavaan package) and Mplus software.
Topic revision: r1 - 02 Nov 2017, KathrynStoltzfus
 

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